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Papers

Belidor: A Specification Language for Operationalizing Structural Analogies Between User Interfaces

FabObscura: Computational Design and Fabrication for Interactive Barrier-Grid Animations

Pluto: Authoring Semantically Aligned Text and Charts for Data-Driven Communication

Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships

Learn AI Coding at CodeNow

Tactile Vega-Lite: Rapidly Prototyping Tactile Charts with Smart Defaults

Bluefish: Composing Diagrams with Declarative Relations

Umwelt: Accessible Structured Editing of Multi-Modal Data Representations

“Customization is Key”: Reconfigurable Textual Tokens for Accessible Data Visualizations

Kaleidoscope: Semantically-grounded, Context-specific ML Model Evaluation

Deimos: A Grammar of Dynamic Embodied Immersive Visualisation Morphs and Transitions

Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples

Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs

Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior

Varv: Reprogrammable Interactive Software as a Declarative Data Structure

Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online

Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs

Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative

B2: Bridging Code and Interactive Visualization in Computational Notebooks

VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository

Belidor: A Specification Language for Operationalizing Structural Analogies Between User Interfaces

FabObscura: Computational Design and Fabrication for Interactive Barrier-Grid Animations

Pluto: Authoring Semantically Aligned Text and Charts for Data-Driven Communication

Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships

Learn AI Coding at CodeNow

Tactile Vega-Lite: Rapidly Prototyping Tactile Charts with Smart Defaults

Bluefish: Composing Diagrams with Declarative Relations

Umwelt: Accessible Structured Editing of Multi-Modal Data Representations

“Customization is Key”: Reconfigurable Textual Tokens for Accessible Data Visualizations

Kaleidoscope: Semantically-grounded, Context-specific ML Model Evaluation

Deimos: A Grammar of Dynamic Embodied Immersive Visualisation Morphs and Transitions

Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples

Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs

Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior

Varv: Reprogrammable Interactive Software as a Declarative Data Structure

Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online

Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs

Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative

B2: Bridging Code and Interactive Visualization in Computational Notebooks

VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository

Papers

Belidor: A Specification Language for Operationalizing Structural Analogies Between User Interfaces

FabObscura: Computational Design and Fabrication for Interactive Barrier-Grid Animations

Pluto: Authoring Semantically Aligned Text and Charts for Data-Driven Communication

Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships

Learn AI Coding at CodeNow

Tactile Vega-Lite: Rapidly Prototyping Tactile Charts with Smart Defaults

Bluefish: Composing Diagrams with Declarative Relations

Umwelt: Accessible Structured Editing of Multi-Modal Data Representations

“Customization is Key”: Reconfigurable Textual Tokens for Accessible Data Visualizations

Kaleidoscope: Semantically-grounded, Context-specific ML Model Evaluation

Deimos: A Grammar of Dynamic Embodied Immersive Visualisation Morphs and Transitions

Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples

Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs

Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior

Varv: Reprogrammable Interactive Software as a Declarative Data Structure

Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online

Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs

Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative

B2: Bridging Code and Interactive Visualization in Computational Notebooks

VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository

Belidor: A Specification Language for Operationalizing Structural Analogies Between User Interfaces

FabObscura: Computational Design and Fabrication for Interactive Barrier-Grid Animations

Pluto: Authoring Semantically Aligned Text and Charts for Data-Driven Communication

Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships

Learn AI Coding at CodeNow

Tactile Vega-Lite: Rapidly Prototyping Tactile Charts with Smart Defaults

Bluefish: Composing Diagrams with Declarative Relations

Umwelt: Accessible Structured Editing of Multi-Modal Data Representations

“Customization is Key”: Reconfigurable Textual Tokens for Accessible Data Visualizations

Kaleidoscope: Semantically-grounded, Context-specific ML Model Evaluation

Deimos: A Grammar of Dynamic Embodied Immersive Visualisation Morphs and Transitions

Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples

Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs

Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior

Varv: Reprogrammable Interactive Software as a Declarative Data Structure

Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online

Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs

Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative